{"id":"W2461800849","doi":"10.1016/j.cjca.2015.07.548","title":"INFORMATION AND COMMUNICATION TECHNOLOGY USE BY INDIVIDUALS WITH CARDIOVASCULAR DISEASE","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Landline; Medicine; The Internet; Phone; Metropolitan area; Population; Census; Health information; Health Information National Trends Survey; Health care; Gerontology; Family medicine; Demography; Environmental health; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004046552,0.000210386,0.0003160365,0.001287473,0.0009995078,0.001706175,0.0002129432,0.0009173999,0.005739565],"category_scores_gemma":[0.00421908,0.0002201042,0.0006574575,0.001316216,0.0002576623,0.001119401,0.0007887227,0.001125814,0.0008289255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003279927,"about_ca_system_score_gemma":0.0005237617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0190842,"about_ca_topic_score_gemma":0.02808574,"domain_scores_codex":[0.9993532,0.0001747033,0.00009081788,0.00007966838,0.0001652985,0.0001362614],"domain_scores_gemma":[0.9975816,0.0006757042,0.0008058497,0.00007179261,0.0003615022,0.0005035386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005636896,0.0002414633,0.9880522,0.00003958105,0.00005123816,0.0001804137,0.00201196,0.0000293712,0.0001802737,0.00004508902,0.0004695499,0.008642537],"study_design_scores_gemma":[0.000005609714,0.0002192296,0.9908727,0.00005195438,0.00005712296,0.0004518255,0.007112635,0.0001260843,0.00005834757,0.00005523184,0.0009774148,0.00001180766],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942436,0.0006315593,0.00004134812,0.0005579235,0.00002856814,0.00001617109,0.0005003694,0.000003533808,0.003976873],"genre_scores_gemma":[0.9965257,0.0009175286,0.00009079129,0.0003532124,0.00004050467,0.00001252889,0.0003163715,0.00000277289,0.001740573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0190842,"threshold_uncertainty_score":0.03794628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03814458171923988,"score_gpt":0.3257350688964767,"score_spread":0.2875904871772368,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}